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50,000+ STEM EBOOKS
Academic Citations & Papers
Tags and Keywords
£20,000,000
About
AI/ML Training Dataset – Rights-Cleared STEM E-Book Collection
Description
This data product is a comprehensive, rights-cleared collection of 50,000+ STEM (Science, Technology, Engineering, and Mathematics) e-books licensed by Arts & Science Academic Publications (ASAP) for commercial Artificial Intelligence (AI) and Machine Learning (ML) applications.
With a publishing heritage dating back to 1940, we are a fourth-generation, family-owned publishing organization with more than 80 years of publishing experience. Since 2014, ASAP has expanded its digital publishing operations to build and distribute one of the largest digital collections of academic and professional publications from 100+ publishers worldwide.
The collection comprises high-quality, professionally published STEM books covering scientific research, engineering, technology, medicine, computer science, mathematics, and other technical disciplines. It has been curated specifically for Large Language Model (LLM) pre-training, supervised fine-tuning, Retrieval-Augmented Generation (RAG), semantic search, document intelligence, knowledge extraction, educational AI, and domain-specific AI model development.
All content is proprietary, rights-cleared, and available under a global, non-exclusive commercial licensing model.
Data Product Features
| Feature | Description |
|---|---|
| Content Type | Digital STEM e-books |
| Publishers | Content sourced from 100+ publishers worldwide |
| Ownership | Proprietary copyrighted content with commercial licensing rights |
| Collection Size | 50,000+ e-books |
| Formats | PDF, EPUB |
| Primary Language | English |
| Subject Coverage | STEM (Science, Technology, Engineering, Mathematics, Medical and Technical Disciplines) |
| Metadata Availability | Bibliographic metadata available |
| Sample Data | Representative samples available upon request |
| Licensing Models | Fixed-fee, royalty-based, or hybrid commercial licensing |
| AI Rights | Licensed for AI/ML training, fine-tuning, evaluation, and commercial AI model development |
Distribution
The dataset is distributed as a structured collection of STEM publications accompanied by bibliographic metadata.
- Primary Formats: PDF, EPUB
- Metadata Format: Microsoft Excel (.xlsx), CSV, or other formats upon request
- Delivery Method: Secure FTP/SFTP
Data Volume
- Number of Records: 50,000+ STEM publications
- Metadata Fields: Approximately 10 standard bibliographic fields (customizable)
- Content Formats: PDF and EPUB
- Estimated Dataset Size: Approximately 500–1,000 GB, depending on publication length, images, and file compression.
Usage
This data product is ideal for a wide range of AI and machine learning applications, including:
- Large Language Model (LLM) Pre-training
- Domain-Specific AI Model Fine-Tuning
- Retrieval-Augmented Generation (RAG)
- Scientific Knowledge Retrieval
- Natural Language Processing (NLP)
- Semantic Search
- Technical Question Answering
- Knowledge Graph Construction
- Document Intelligence
- Optical Character Recognition (OCR)
- Educational AI Platforms
- Engineering and Scientific Research
- Medical AI Applications
- Enterprise Knowledge Management
Coverage
The dataset provides extensive coverage across STEM disciplines and technical literature.
- Geographic Coverage: Global
- Publishing Coverage: 100+ publishers worldwide
- Time Range: Publications spanning multiple decades, including legacy publishing archives dating back to 1940 and digital publishing collections from 2014 onwards.
STEM Subject Coverage
- Science
- Physics
- Chemistry
- Biology
- Mathematics
- Statistics
- Computer Science
- Artificial Intelligence
- Machine Learning
- Data Science
- Information Technology
- Software Engineering
- Electrical Engineering
- Electronics
- Mechanical Engineering
- Civil Engineering
- Chemical Engineering
- Aerospace Engineering
- Environmental Science
- Biotechnology
- Medicine
- Pharmacy
- Nursing
- Dentistry
- Public Health
- Agriculture
- Veterinary Science
- Earth Sciences
- Renewable Energy
- Robotics
- Internet of Things (IoT)
- Cybersecurity
License
Proprietary
AI Training Rights
The Licensee is granted a non-exclusive, worldwide, and perpetual right to:
- Use the Data Product to train, fine-tune, and evaluate machine learning models, including Large Language Models (LLMs).
- Incorporate Data Product content into AI models and commercialize the resulting model outputs.
- Create derivative AI artifacts, including model weights, embeddings, vector databases, indexes, and similar outputs, for any lawful purpose.
Restrictions
- The Data Product itself may not be sold, redistributed, sublicensed, or shared outside the scope of the licensed usage.
- The Licensee must comply with all applicable intellectual property, copyright, privacy, and data protection laws.
Who Can Use It
This dataset is designed for organizations developing advanced scientific and technical AI systems.
- Foundation Model Developers
- Generative AI Companies
- Scientific AI Companies
- Healthcare AI Companies
- Engineering Software Companies
- Technology Companies
- Research Institutions
- Universities
- Government Research Organizations
- Pharmaceutical Companies
- Data Scientists
- Enterprise AI Teams
Data Dictionary
| Column Name | Data Type | Description | Possible Values / Notes |
|---|---|---|---|
| ISBN | String | International Standard Book Number | ISBN-10 or ISBN-13 |
| Title | String | Title of the publication | Free text |
| Author(s) | String | Author(s) or contributor(s) | Multiple values possible |
| Publisher | String | Publishing entity | One of 100+ participating publishers |
| Publication Year | Integer | Year of publication | YYYY |
| Language | String | Primary language | Primarily English |
| Subject | String | STEM subject classification | Science, Engineering, Medicine, Computer Science, etc. |
| File Format | String | Digital file format | PDF or EPUB |
| Number of Pages | Integer | Total number of pages (where available) | Numeric |
Additional Notes
- The dataset contains 50,000+ proprietary STEM publications licensed by Arts & Science Academic Publications (ASAP).
- Content originates from 100+ publishers worldwide, with commercial licensing rights for AI and machine learning applications.
- Commercial licensing is available globally on a non-exclusive basis.
- Metadata, representative samples, and technical specifications are available upon request.
- Flexible licensing options include fixed-fee, royalty-based, and hybrid commercial agreements.
- Collections can be customized by STEM discipline, publisher, language, publication type, file format, or specific business requirements.
- Secure enterprise-scale delivery is available via FTP/SFTP.
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£20,000,000
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